If your hotel is all-in on the AI hype, you're in for a rude awakening
Where AI Belongs
AI has its benefits, just like any technology. Efficiencies in data tracking and analysis, workflow automations, business intelligence, and pattern recognition are all valid and important use-cases.
For hospitality professionals, AI comes in handy through a revenue management system that can help set rates during low-season, a booking engine that upsells guests based on their choice of room or IP address, or a channel manager that can help determine where to allocate room inventory.
But when AI starts bleeding into the domain of creativity and judgement - especially for guest-facing assets - its use becomes more of a risk than a reward.
Open any social platform and you’ll see the backlash against AI writing, slop content, and automated commenting and DMs being delivered by LLMs like Claude and ChatGPT. This isn’t limited to creators on LinkedIn, Instagram or Substack for efficient workflows and volume, but established brands are buying into the trap - with their audiences noticing immediately and voicing their disdain.

The same mechanism is now being seen in design, as AI models start to ‘create’ visual assets for businesses and individuals. Posters, menus, 1 click websites, and diagrams are all being created by AI to pump out content and move onto the next task.
It’s all become noise, it’s all starting to look the same. And it’s become abundantly clear now: no one wants this. The market is tired of it, and is generally concerned.

Pew research from 2025 showed that the dominant line of thinking from respondents is that AI hurts people’s ability to think creatively, form meaningful connections, make difficult decisions, and solve problems.
Within only a few years of AI being introduced to the mass market, the tide is beginning to turn back again in favour of craft, effort, personal judgement, novel thinking and niche ideas.
This reversal has many reasons, but I believe a key reason is based on a framework called the Costly Signalling Theory.
Costly Signalling Theory
Proposed by Amotz Zahavi and formalized by biologists Alan Grafen and H. Charles Godfray, Costly Signalling Theory is an important framing mechanism for brand stewards and brand owners to understand in the age of AI (and beyond).
The theory proposes that animals, humans, and even plants signal their fitness, quality, or other positive characteristics through an expenditure of energy, time, or resources.
Think of a peacock that grows an elaborate colourful tail to demonstrate its fitness and genetic health. Interestingly, the flamboyant tail is a survival risk due to lack of mobility and speed when running away from predators. However, risk of being hunted down is outweighed by the reward in a display of mate quality.

In relation to hotel marketing and brand-building, this means spending time, money, and effort to demonstrate you are a property of excellence and high standards (not one of cost-cutting and laziness).
This expenditure shows you do care, that you do have resources to prove it, and that you are not afraid to promote your property confidently because you know you can deliver quality during the stay.
This ‘costly’ display builds trust - guests can immediately see where you’ve prioritized value over a shortcut or a fast-fix. And they assume that you’ve done the same with your on-site experience.
These days, word travels too fast for hotels to make big claims while their on-property experience does not match up. One social post or a series of negative reviews can burn a brand down.
In contrast to ‘costly signalling’, using AI signals laziness, not quality. It shows a property was looking for the fastest output, not the most emotionally resonant content for your guest.
It signals that the brand trusts a machine more than they trust human ingenuity. That they are afraid to take a risk of doing something truly creative, for a race to attract the lowest common denominator. Or it simply signals a lack of confidence in the property experience - they don’t want to set expectations too high in their marketing, fearing that when someone does visit, the expectation is broken (this happens often, we’ve heard it from a handful of hotels we’ve spoken to).









